QDR staff has long taught data management with a focus on qualitative data – be it as a IASSIST workshop or as a module of the Institute for Qualitative and Multi-Method Research (IQMR), which was co-taught with Louise Corti of UK Data.
On October 28, 2016, a group of 19 developers, researchers, and repository specialists met at Syracuse University’s Lubin House in New York City to discuss “CAQDAS Projects and Digital Repositories’ Best Practices,” a one-day workshop organized by the Qualitative Data Repository. CAQDAS – Computer Assisted Qualitative Data Analysis – describes a group of applications that allow researchers to manage, link, tag/code, annotate/produce memos about, analyze, and visualize qualitative and multi-method data.
Sharing qualitative data produces many benefits: shared data can contribute to making the research product in which they were originally deployed more easily understandable and interpretable, they can be analyzed by other researchers, and they can be used for pedagogical purposes. QDR is very interested in promoting all of these uses of shared data.
